At the 2024 Baidu World Conference, Baidu introduced an innovative no-code tool called 'MiaoDa', personally launched by Baidu founder Robin Li. This tool integrates three core functionalities: no-code programming, multi-agent collaboration, and multi-tool invocation, and was hailed by Robin Li as 'the most complex multi-agent collaboration tool in human history.'

After an accidental encounter at a thrift store, former Apple engineer Alex Ruber and former Twitter and Asana engineer Parth Chopra joined forces to establish the second-hand goods search engine Encore, aimed at addressing the challenges consumers face in finding desired items within the vast second-hand market. This emerging startup has successfully been selected as one of the inaugural fall startups in Y Combinator's history. The two initially met on Y Combinator's founder matching platform, and later at an event.

Today, the Zhipu Technology team released its latest video generation model, CogVideoX v1.5, and made it open source. This version is another significant advancement in the CogVideoX series launched by the Zhipu Technology team since August. The update greatly enhances video generation capabilities, including support for 5-second and 10-second video lengths, 768P resolution, and the ability to generate 16 frames. Additionally, the I2V (Image-to-Video) model supports arbitrary aspect ratios, further improving the understanding of complex semantics.

Beijing Zhizhu Huazhang Technology Co., Ltd. announced that its CogVideoX series models have launched the latest version - CogVideoX v1.5, which is now open source. Since its release in early August, this series of models has become a leader in the video generation field due to its industry-leading technology and developer-friendly features. The new version, CogVideoX v1.5, has been significantly upgraded, enhancing video generation capabilities and now supports 5/10 second, 768P, 16-frame video generation.

Recently, Kuaishou, along with research teams from Peking University and Beijing University of Posts and Telecommunications, jointly open-sourced an ultra high definition video generation model named Pyramid-Flow. This model can generate videos of up to 10 seconds long, with a resolution of 1280x768 and 24 frames per second, producing high-quality results with excellent lighting effects, action consistency, and overall video quality. Pyramid-Flow operates differently from existing video diffusion models, which typically run at full resolution; while this approach allows for...

Recently, Apple's AI research team released a new model called Depth Pro, marking a significant breakthrough in the field of depth estimation! This model can quickly generate high-resolution 3D depth maps from a single 2D image, and astonishingly, it does not require any camera metadata, which is a rarity in previous technologies. Depth Pro works incredibly fast, generating depth maps in just 0.3 seconds. The model can create maps with outstanding clarity at 2.25MP.

Recently, the artificial intelligence platform Hugging Face announced that the number of publicly available AI models has exceeded one million. This milestone not only signifies Hugging Face's rapid development in the AI field but also reflects the increasing importance of specialized AI solutions. Image source note: The image was generated by AI, image authorized by service provider Midjourney. Hugging Face co-founder Clément Delang

In today's rapidly advancing technology, speech synthesis technology is also progressing, especially in the field of restoring lost voices. Recently, Google researchers introduced a new technology called 'Zero-shot Voice Transfer' which can be directly integrated with state-of-the-art Text-to-Speech (TTS) systems to help those who have lost their voices due to illness or accidents regain their 'voice memory'. The core of this technology is its 'zero-shot' capability, meaning that we do not need a large number of samples to achieve this.

Recently, Johns Hopkins University and Tencent AI Lab jointly launched a new text-to-audio generation model named EzAudio. This technology promises unprecedented efficiency and high-quality text-to-speech conversion, marking a significant leap in artificial intelligence and audio technology. EzAudio operates by utilizing the latent space of audio waveforms instead of traditional spectrograms, an innovation that allows it to work at high temporal resolution without the need for an additional neural vocoder. The architecture of EzAudio is referred to as EzAu.